com.intel.analytics.bigdl.nn.keras

Model

object Model extends KerasLayerSerializable with Serializable

Linear Supertypes
Serializable, Serializable, KerasLayerSerializable, TKerasSerializerHelper, ContainerSerializable, ModuleSerializable, Savable, Loadable, AnyRef, Any
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Inherited
  1. Model
  2. Serializable
  3. Serializable
  4. KerasLayerSerializable
  5. TKerasSerializerHelper
  6. ContainerSerializable
  7. ModuleSerializable
  8. Savable
  9. Loadable
  10. AnyRef
  11. Any
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Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. var _copyWeightAndBias: Boolean

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  7. def appendKerasLabel[T](context: SerializeContext[T], moduleBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Definition Classes
    TKerasSerializerHelper

  8. def apply[T](input: ModuleNode[T], output: ModuleNode[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a single input, single output graph container

    Build a single input, single output graph container

    input

    input nodes

    output

    output nodes

    returns

    a graph container

  9. def apply[T](input: Array[ModuleNode[T]], output: ModuleNode[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a multiple inputs, single output graph container

    Build a multiple inputs, single output graph container

    input

    input nodes

    output

    output node

    returns

    a graph container

  10. def apply[T](input: ModuleNode[T], output: Array[ModuleNode[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a single input, multiple outputs graph container

    Build a single input, multiple outputs graph container

    input

    input node

    output

    output nodes

    returns

    a graph container

  11. def apply[T](input: Array[ModuleNode[T]], output: Array[ModuleNode[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build multiple inputs, multiple outputs graph container.

    Build multiple inputs, multiple outputs graph container.

    input

    input node

    output

    output node

    returns

    a graph container

  12. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  13. def checkVersion[T](module: BigDLModule)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  14. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  15. def copy2BigDL[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    copy serialized data (weight and bias if exist) to BigDL module

    copy serialized data (weight and bias if exist) to BigDL module

    context

    deserialized context

    module

    bigDL Module with relationships

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  16. def copyFromBigDL[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    copy BigDL module data (weight and bias if exist) to BigDL Model to be persisted

    copy BigDL module data (weight and bias if exist) to BigDL Model to be persisted

    context

    serialization context

    modelBuilder

    serialized module builder

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  17. def copyWeightAndBias(): Boolean

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  18. def createBigDLModule[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  19. def createSerializeBigDLModule[T](modelBuilder: Builder, context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  20. def doLoadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

    Default deserialization using reflection

    Default deserialization using reflection

    context

    deserialize context

    returns

    BigDL module

    Definition Classes
    Model → ContainerSerializable → ModuleSerializable

  21. def doSerializeModule[T](context: SerializeContext[T], builder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Definition Classes
    Model → KerasLayerSerializable → ContainerSerializable → ModuleSerializable

  22. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  23. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  24. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  25. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  26. def getLock: AnyRef

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  27. def getTypes(context: DeserializeContext): (Array[ClassTag[_]], Array[TensorNumeric[_]])

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  28. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  29. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  30. def loadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

    Default deserialization to provide the template

    Default deserialization to provide the template

    returns

    BigDL module instance with linkages with other modules

    Definition Classes
    ModuleSerializable → Loadable

  31. def loadSubModules[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Definition Classes
    KerasLayerSerializable → ContainerSerializable

  32. val lock: AnyRef

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  33. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  34. final def notify(): Unit

    Definition Classes
    AnyRef

  35. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  36. def serializeModule[T](context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

    Default serialization skeleton using reflection

    Default serialization skeleton using reflection

    context

    Serialization context

    returns

    serialized protobuf module instace

    Definition Classes
    ModuleSerializable → Savable

  37. def serializeSubModules[T](context: SerializeContext[T], containerBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ContainerSerializable

  38. def setCopyWeightAndBias(copyWeightAndBias: Boolean): Model.this.type

    Definition Classes
    ModuleSerializable

  39. def setDataTypes[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  40. def setVersion[T](modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  41. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  42. def toString(): String

    Definition Classes
    AnyRef → Any

  43. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  44. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  45. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from KerasLayerSerializable

Inherited from TKerasSerializerHelper

Inherited from ContainerSerializable

Inherited from ModuleSerializable

Inherited from Savable

Inherited from Loadable

Inherited from AnyRef

Inherited from Any

Ungrouped